airbyte-agent-connectors

by airbytehq · MCP Server · ★ 115

About airbyte-agent-connectors

🐙 Drop-in tools that give AI agents reliable, permission-aware access to external systems.

aiai-agentsairbyteanthropicconnectorsdataenterprisegeminiintegrationslangchain

Quick Facts

Stars115
Forks8
LanguagePython
CategoryMCP Server
Quality Score40.2/100
Open Issues5
Last Updated2026-04-17
Created2025-11-26
Platformsgemini, mcp, python
Est. Tokens~1940k

Compatible Skills

These tools work well together with airbyte-agent-connectors for enhanced workflows:

  • pydantic-ai-todo — semantic(0.28)+complementary+rare_topics+same_lang+similar_pop+shared_platform (59%)
  • pydantic-ai-middleware — semantic(0.20)+complementary+rare_topics+same_lang+similar_pop+shared_platform (56%)
  • full-stack-ai-agent-template — semantic(0.16)+complementary+rare_topics+same_lang+similar_pop+shared_platform (55%)
  • swarms-examples — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (52%)

More MCP Server Tools

Explore other popular mcp server tools:

View all MCP Server tools →

Popular Python Agent Tools

Frequently Asked Questions

What is airbyte-agent-connectors?

airbyte-agent-connectors is 🐙 Drop-in tools that give AI agents reliable, permission-aware access to external systems.. It is categorized as a MCP Server with 115 GitHub stars.

What programming language is airbyte-agent-connectors written in?

airbyte-agent-connectors is primarily written in Python. It covers topics such as ai, ai-agents, airbyte.

How do I install or use airbyte-agent-connectors?

You can find installation instructions and usage details in the airbyte-agent-connectors GitHub repository at github.com/airbytehq/airbyte-agent-connectors. The project has 115 stars and 8 forks, indicating an active community.

View on GitHub → Browse MCP Server tools